US20170316663A1 - Monitor for dynamic displaying - Google Patents

Monitor for dynamic displaying Download PDF

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Publication number
US20170316663A1
US20170316663A1 US15/143,658 US201615143658A US2017316663A1 US 20170316663 A1 US20170316663 A1 US 20170316663A1 US 201615143658 A US201615143658 A US 201615143658A US 2017316663 A1 US2017316663 A1 US 2017316663A1
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United States
Prior art keywords
monitor
cameras
screen
abnormality
abnormalities
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US15/143,658
Inventor
Shaw Hwa Hwang
Bing Chih Yao
Kuan Lin Chen
Yao Hsing Chung
Chi Jung Huang
Cheng Yu Yeh
Shun Chieh Chang
Li Te Shen
Chao Ping Chu
Ning Yun KU
Tzu Hung Lin
Ming Che Yeh
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National Taipei University of Technology
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National Taipei University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by National Taipei University of Technology filed Critical National Taipei University of Technology
Priority to US15/143,658 priority Critical patent/US20170316663A1/en
Assigned to NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY reassignment NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHANG, SHUN CHIEH, CHEN, KUAN LIN, CHU, CHAO PING, CHUNG, YAO HSING, HUANG, CHI JUNG, HWANG, SHAW HWA, KU, NING YUN, LIN, TZU HUNG, SHEN, LI TE, YAO, BING CHIH, YEH, CHENG YU, YEH, MING CHE
Publication of US20170316663A1 publication Critical patent/US20170316663A1/en
Abandoned legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19678User interface
    • G08B13/19691Signalling events for better perception by user, e.g. indicating alarms by making display brighter, adding text, creating a sound
    • G08B13/19693Signalling events for better perception by user, e.g. indicating alarms by making display brighter, adding text, creating a sound using multiple video sources viewed on a single or compound screen
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19678User interface
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639Details of the system layout
    • G08B13/19645Multiple cameras, each having view on one of a plurality of scenes, e.g. multiple cameras for multi-room surveillance or for tracking an object by view hand-over

Definitions

  • the present invention relates to a special monitor for security service, and more particularly to a monitor for security service which can select those images having abnormalities for displaying.
  • FIG. 1 which shows schematically a conventional multiplex monitor for security service
  • the monitor 5 will display images recorded by several or dozens of cameras on screen thereof simultaneously.
  • the screen of the monitor 5 in FIG. 1 is equally divided into four pictures 6 , 7 , 8 , 9 for displaying images recorded by cameras 1 , 2 , 3 , 4 respectively.
  • the security service personnel watch the four pictures on the monitor 5 for surveying everywhere in order to enable appropriate action quickly.
  • the object of the present invention is provides a monitor for dynamic displaying.
  • K cameras are connected with the monitor in order to display images recorded by the k cameras on a screen of the monitor.
  • An “abnormality detection algorithm” is used for detecting abnormalities of the images recorded by the k cameras. Those images having abnormalities are displayed continuously on the screen, other images having no abnormality are not displayed, so that the security service personnel can watch those images having abnormalities on the screen to enable appropriate action quickly.
  • the “abnormality detection algorithm” first obtains a background image from each camera, and then obtains a present image from each camera; both the background image and the present image have n ⁇ m pixels; a first value of each pixel of the present image is subtracted correspondingly by a second value of each pixel of the background image, and then get an absolute value thereof; those n ⁇ m absolute values are sumed up for being divided by n ⁇ m to get a D mean ; a reasonable “abnormality detecting threshold” D threshold is set in advance; if D mean >D threshold , then there is abnormality, the present image is displayed on the screen of the monitor; otherwise the present image is not displayed on the screen of the monitor.
  • FIG. 1 shows schematically a conventional multiplex monitor for security service.
  • FIG. 2 shows schematically a monitor for dynamic displaying according to the present invention.
  • FIG. 3 shows schematically a special condition of the monitor for dynamic displaying according to the present invention.
  • FIG. 4 shows schematically another condition of the monitor for dynamic displaying according to the present invention.
  • FIG. 5 shows schematically a further condition of the monitor for dynamic displaying according to the present invention.
  • FIG. 6 shows schematically a flow chart of the related program in the monitor for dynamic displaying according to the present invention.
  • FIG. 7 shows schematically the “abnormality detection algorithm” according to the present invention.
  • FIG. 8 shows schematically an example to describe “abnormality detection algorithm” according to the present invention.
  • FIG. 2 which shows schematically a monitor for dynamic displaying according to the present invention.
  • the monitor 5 is designed to use an “abnormality detection algorithm” for detecting the abnormalities of the pictures recorded by the cameras. If one picture of the cameras has abnormality, then the monitor 5 only displays said picture, other pictures having no abnormality will not be displayed.
  • the picture 6 of the camera 1 has abnormality
  • other pictures 7 , 8 , 9 of the cameras 2 , 3 , 4 have no abnomalities
  • the monitor 5 only displays the picture 6 of the camera 1
  • other pictures 7 , 8 , 9 of the cameras 2 , 3 , 4 will not be displayed.
  • the security service personnel can clearly sense the abnormality in the picture 6 of the camera 1 , and enable appropriate action quickly.
  • the pictures 6 , 7 of the cameras 1 , 2 have abnomalities, other pictures 8 , 9 of the cameras 3 , 4 have no abnomalities, therefore the monitor 5 only displays the pictures 6 , 7 of the cameras 1 , 2 , other pictures 8 , 9 of the cameras 3 , 4 will not be displayed.
  • the security service personnel can clearly sense the abnormalities in the pictures 6 , 7 of the cameras 1 , 2 , and enable appropriate action quickly.
  • the pictures 6 , 7 , 8 of the cameras 1 , 2 , 3 have abnomalities, other picture 9 of the camera 4 has no abnormality, therefore the monitor 5 only displays the pictures 6 , 7 , 8 of the cameras 1 , 2 , 3 , other picture 9 of the camera 4 will not be displayed.
  • the security service personnel can clearly sense the abnormalities in the pictures 6 , 7 , 8 of the cameras 1 , 2 , 3 , and enable appropriate action quickly.
  • the pictures 6 , 7 , 8 , 9 of the cameras 1 , 2 , 3 , 4 have abnomalities, therefore the monitor 5 displays the pictures 6 , 7 , 8 , 9 of the cameras 1 , 2 , 3 , 4 .
  • the security service personnel must carefully sense the abnormalities in the pictures 6 , 7 , 8 , 9 of the cameras 1 , 2 , 3 , 4 , and enable appropriate action.
  • step 1 the program of the monitor 5 receives images recorded by k cameras.
  • step 2 the program of the monitor 5 uses an “abnormality detection algorithm” to analyze the images recorded by k cameras.
  • step 3 the program of the monitor 5 stores the results analyzed by the “abnormality detection algorithm”.
  • step 4 the program checks that if all images recorded by k cameras have no abnormality; if no abnormality at all, then the images recorded by k cameras are equally combined into one picture (step 5 ), and outputted to the screen of the monitor 5 (step 6 ), go back to step 1 for proceeding repeatedly; if there are abnormalities, then the images having abnormalities are equally combined into one picture (step 7 ), and outputted to the screen of the monitor 5 (step 6 ), go back to step 1 for proceeding repeatedly.
  • FIG. 7 which shows schematically the “abnormality detection algorithm” according to the present invention.
  • the program of the monitor 5 obtains a background image 10 from each camera.
  • the background image 10 is the first image recorded by each camera or a previous image recorded by each camera.
  • the program of the monitor 5 obtains a present image 11 from each camera.
  • Both the background image 10 and the present image 11 have n ⁇ m pixels.
  • the value p i,j of each pixel of the present image 11 is subtracted correspondingly by the value b i,j of each pixel of the background image 10 , and then get the absolute value thereof.
  • the n ⁇ m absolute values are sumed up for being divided by n ⁇ m to get D mean , as shown by the formula in FIG. 7 .
  • the program of the monitor 5 will set in advance a reasonable “abnornmality detecting threshold” D threshold . If D mean >D threshold , then there is abnormality, the program of the monitor 5 will display said present image 11 on the screen of the monitor 5 .
  • D threshold a reasonable “abnormality detecting threshold” D threshold to be 25. If the background image 10 is almost the same as the present image 11 , as shown in the upper part of FIG. 8 , then D mean calculated by the “abnormality detection algorithm” is 3, which is smaller than 25, so there is no abnormality. If the present image 11 appears a figure of a man, as shown in the lower part of FIG. 8 , then D mean calculated by the “abnormality detection algorithm” is 56, which is greater than 25, so there is abnormality.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

The present invention provides a monitor for dynamic displaying. K cameras are connected with the monitor in order to display images recorded by the k cameras on a screen of the monitor. An “abnormality detection algorithm” is used for detecting abnormalities of the images recorded by the k cameras. Those images having abnormalities are displayed continuously on the screen, other images having no abnormality are not displayed, so that a security service personnel can watch those images having abnormalities on the screen to enable appropriate action quickly.

Description

    FIELD OF THE INVENTION
  • The present invention relates to a special monitor for security service, and more particularly to a monitor for security service which can select those images having abnormalities for displaying.
  • BACKGROUND OF THE INVENTION
  • Referring to FIG. 1, which shows schematically a conventional multiplex monitor for security service, the monitor 5 will display images recorded by several or dozens of cameras on screen thereof simultaneously. The screen of the monitor 5 in FIG. 1 is equally divided into four pictures 6, 7, 8, 9 for displaying images recorded by cameras 1, 2, 3, 4 respectively. The security service personnel watch the four pictures on the monitor 5 for surveying everywhere in order to enable appropriate action quickly.
  • If the screen of the monitor 5 is divided into dozens of pictures, then each picture is very small, therefore the security service personnel sometimes cannot sense the abnormalities in the pictures, and cannot enable appropriate action quickly.
  • SUMMARY OF THE INVENTION
  • The object of the present invention is provides a monitor for dynamic displaying. K cameras are connected with the monitor in order to display images recorded by the k cameras on a screen of the monitor. An “abnormality detection algorithm” is used for detecting abnormalities of the images recorded by the k cameras. Those images having abnormalities are displayed continuously on the screen, other images having no abnormality are not displayed, so that the security service personnel can watch those images having abnormalities on the screen to enable appropriate action quickly.
  • The “abnormality detection algorithm” first obtains a background image from each camera, and then obtains a present image from each camera; both the background image and the present image have n×m pixels; a first value of each pixel of the present image is subtracted correspondingly by a second value of each pixel of the background image, and then get an absolute value thereof; those n×m absolute values are sumed up for being divided by n×m to get a Dmean; a reasonable “abnormality detecting threshold” Dthreshold is set in advance; if Dmean>Dthreshold, then there is abnormality, the present image is displayed on the screen of the monitor; otherwise the present image is not displayed on the screen of the monitor.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 shows schematically a conventional multiplex monitor for security service.
  • FIG. 2 shows schematically a monitor for dynamic displaying according to the present invention.
  • FIG. 3 shows schematically a special condition of the monitor for dynamic displaying according to the present invention.
  • FIG. 4 shows schematically another condition of the monitor for dynamic displaying according to the present invention.
  • FIG. 5 shows schematically a further condition of the monitor for dynamic displaying according to the present invention.
  • FIG. 6 shows schematically a flow chart of the related program in the monitor for dynamic displaying according to the present invention.
  • FIG. 7 shows schematically the “abnormality detection algorithm” according to the present invention.
  • FIG. 8 shows schematically an example to describe “abnormality detection algorithm” according to the present invention.
  • DETAILED DESCRIPTIONS OF THE PREFERRED EMBODIMENTS
  • Referring to FIG. 2, which shows schematically a monitor for dynamic displaying according to the present invention. In order to enable the security service personnel to sense the abnormalities in the pictures quickly, the monitor 5 is designed to use an “abnormality detection algorithm” for detecting the abnormalities of the pictures recorded by the cameras. If one picture of the cameras has abnormality, then the monitor 5 only displays said picture, other pictures having no abnormality will not be displayed.
  • For example, in FIG. 2, the picture 6 of the camera 1 has abnormality, other pictures 7, 8, 9 of the cameras 2, 3, 4 have no abnomalities, therefore the monitor 5 only displays the picture 6 of the camera 1, other pictures 7, 8, 9 of the cameras 2, 3, 4 will not be displayed. Thus the security service personnel can clearly sense the abnormality in the picture 6 of the camera 1, and enable appropriate action quickly.
  • Referring to FIG. 3, the pictures 6, 7 of the cameras 1, 2 have abnomalities, other pictures 8, 9 of the cameras 3, 4 have no abnomalities, therefore the monitor 5 only displays the pictures 6, 7 of the cameras 1, 2, other pictures 8, 9 of the cameras 3, 4 will not be displayed. Thus the security service personnel can clearly sense the abnormalities in the pictures 6, 7 of the cameras 1, 2, and enable appropriate action quickly.
  • Referring to FIG. 4, the pictures 6, 7, 8 of the cameras 1, 2, 3 have abnomalities, other picture 9 of the camera 4 has no abnormality, therefore the monitor 5 only displays the pictures 6, 7, 8 of the cameras 1, 2, 3, other picture 9 of the camera 4 will not be displayed. Thus the security service personnel can clearly sense the abnormalities in the pictures 6, 7, 8 of the cameras 1, 2, 3, and enable appropriate action quickly.
  • Referring to FIG. 5, the pictures 6, 7, 8, 9 of the cameras 1, 2, 3, 4 have abnomalities, therefore the monitor 5 displays the pictures 6, 7, 8, 9 of the cameras 1, 2, 3, 4. Thus the security service personnel must carefully sense the abnormalities in the pictures 6, 7, 8, 9 of the cameras 1, 2, 3, 4, and enable appropriate action.
  • Referring to FIG. 6, which shows schematically a flow chart of the related program in the monitor for dynamic displaying according to the present invention. In step 1, the program of the monitor 5 receives images recorded by k cameras. In step 2, the program of the monitor 5 uses an “abnormality detection algorithm” to analyze the images recorded by k cameras. In step 3, the program of the monitor 5 stores the results analyzed by the “abnormality detection algorithm”. In step 4, the program checks that if all images recorded by k cameras have no abnormality; if no abnormality at all, then the images recorded by k cameras are equally combined into one picture (step 5), and outputted to the screen of the monitor 5 (step 6), go back to step 1 for proceeding repeatedly; if there are abnormalities, then the images having abnormalities are equally combined into one picture (step 7), and outputted to the screen of the monitor 5 (step 6), go back to step 1 for proceeding repeatedly.
  • Referring to FIG. 7, which shows schematically the “abnormality detection algorithm” according to the present invention; At first the program of the monitor 5 obtains a background image 10 from each camera. The background image 10 is the first image recorded by each camera or a previous image recorded by each camera. Thereafter the program of the monitor 5 obtains a present image 11 from each camera. Both the background image 10 and the present image 11 have n×m pixels. The value pi,j of each pixel of the present image 11 is subtracted correspondingly by the value bi,j of each pixel of the background image 10, and then get the absolute value thereof. The n×m absolute values are sumed up for being divided by n×m to get Dmean, as shown by the formula in FIG. 7.
  • The program of the monitor 5 will set in advance a reasonable “abnornmality detecting threshold” Dthreshold. If Dmean>Dthreshold, then there is abnormality, the program of the monitor 5 will display said present image 11 on the screen of the monitor 5.
  • Referring to FIG. 8, taking an example to describe “abnormality detection algorithm” according to the present invention. The program of the monitor 5 sets in advance a reasonable “abnormality detecting threshold” Dthreshold to be 25. If the background image 10 is almost the same as the present image 11, as shown in the upper part of FIG. 8, then Dmean calculated by the “abnormality detection algorithm” is 3, which is smaller than 25, so there is no abnormality. If the present image 11 appears a figure of a man, as shown in the lower part of FIG. 8, then Dmean calculated by the “abnormality detection algorithm” is 56, which is greater than 25, so there is abnormality.
  • The scope of the present invention depends upon the following claims, and is not limited by the above embodiments.

Claims (2)

What is claimed is:
1. A monitor for dynamic displaying, k cameras are connected with the monitor in order to display images recorded by the k cameras on a screen of the monitor; an “abnormality detection algorithm” is used for detecting abnormalities of the images recorded by the k cameras; those images having abnormalities are displayed continuously on the screen, other images having no abnormality are not displayed.
2. The monitor for dynamic displaying according to claim 1, wherein the “abnormality detection algorithm” first obtains a background image from each camera, and then obtains a present image from, each camera; both the background image and the present image have n×m pixels; a first value of each pixel of the present image is subtracted correspondingly by a second value of each pixel of the background image, and then get an absolute value thereof, those n×m absolute values are sumed up for being divided by n×m to get a Dmean; a reasonable “abnormality detecting threshold” Dthreshold is set in advance; if Dmean>Dthreshold, then there is abnormality, the present image is displayed on the screen of the monitor; otherwise the present image is not displayed on the screen of the monitor.
US15/143,658 2016-05-02 2016-05-02 Monitor for dynamic displaying Abandoned US20170316663A1 (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AT17341U1 (en) * 2021-01-27 2022-01-15 Pke Holding Ag Arrangement of cameras to monitor an area

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AT17341U1 (en) * 2021-01-27 2022-01-15 Pke Holding Ag Arrangement of cameras to monitor an area

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Effective date: 20160408

STCB Information on status: application discontinuation

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